Carbon neutral or a sink? Uncertainty caused by gap-filling long-term flux measurements for an old-growth boreal black spruce forest-Reference-Cited by-同舟云学术

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Carbon neutral or a sink? Uncertainty caused by gap-filling long-term flux measurements for an old-growth boreal black spruce forest

Published:2017-02 Issue: Volume:233 Page:110-121
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Soloway Ashley D.,Amiro Brian D.,Dunn Allison L.,Wofsy Steve C.

Funder

UBC Biometeorology group

Max Planck Institute of Biogeochemistry

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference47 articles.

1. Ecosystem carbon dioxide fluxes after disturbance in forests of North America;Amiro;J. Geophys. Res-Biogeo.,2010

2. Breathing of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems;Baldocchi;Aust. J. Bot.,2008

3. Evapotranspiration in intermediate-aged and mature boreal fens and upland forests;Barker;Ecohydrology,2009

4. Comparing the carbon budgets of boreal and temperate deciduous forest stands;Barr;Can. J. Forest Res.,2002

5. Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production;Barr;Agric. For. Meteorol.,2004

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1. Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S.;Agricultural and Forest Meteorology;2024-04

2. Intra-annual carbon fluxes and resource use efficiency of subtropical urban forests: insights from Chongming Island ecological observatory;Frontiers in Forests and Global Change;2023-11-29

3. A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC);Environmental Research Letters;2023-07-18

4. A carbon-neutrality-capacity index for evaluating carbon sink contributions;Environmental Science and Ecotechnology;2023-07

5. Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition;Remote Sensing;2023-05-22

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